2020-06-07T10:29:44Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/135292020-06-05T14:39:02Zcom_10324_38col_10324_787Larriba González, Yolanda2015-09-15T14:59:31Z2015-09-15T14:59:31Z2015http://uvadoc.uva.es/handle/10324/13529Identification of periodic patterns in gene expression data is important for studying
the regulation mechanism of the circadian system. The information available is
often given only by one or two cycles. Consequently, the number of observations is
not enough to fit certain models, such as Fourier's models, properly. Some authors
have already developed procedures or algorithms among which the JTK CYCLE
algorithm is the most popular one.
We propose a new method to identify cyclic gene expressions based on euclidean
and circular order restricted inference. Validation of the method is made through
real data sets and simulations. Moreover, we compare the results obtained by the
method with other detecting methods developed in the literature.enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternationalAlgoritmo JTK CycleCiclo circadiano - Expresión génicaA new method for detection of cyclic circadian genes using order restricted inferenceinfo:eu-repo/semantics/masterThesis